Genetic Algorithms Courses

NPTEL;  Chennai Mathematical Institute

Design and Analysis of Algorithms

8 reviews

Learn algorithm design and analysis, covering sorting, graphs, dynamic programming, and complexity theory. Gain practical skills in efficient problem-solving and algorithm implementation.

• YouTube
• 15 hours
• On-Demand
• Free Video

DATA STRUCTURES AND ALGORITHMS (SCSJ 2013)

"Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident." - Rob Pike

• OpenLearning
• On-Demand
• Paid Course

Advanced Algorithms and Complexity

701 ratings at Coursera

Explore advanced algorithms for network flows, linear programming, NP-complete problems, and streaming. Learn to solve complex computational challenges and optimize real-world systems efficiently.

• Coursera
• 1 day 3 hours 15 minutes
• On-Demand
• Paid Course

Data Manipulation at Scale: Systems and Algorithms

772 ratings at Coursera

Explore data manipulation at scale, covering systems and algorithms for processing large datasets. Learn about databases, MapReduce, NoSQL, and graph analytics to effectively handle big data challenges.

• Coursera
• 20 hours 6 minutes
• On-Demand
• Paid Course

Genetic Models for Animal Breeding

11 ratings at edX

Understand the genetic and statistic principles that enable responsible animal breeding. Learn how to set up a breeding programme and apply genetic models and tools to predict the breeding value. Subscribe to this online course now.

• edX
• 6 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Quantum Error Correction and Algorithms

Learn about quantum algorithms and the principles of quantum error correction for fault-tolerant quantum computing, through full-stack overview covering both quantum hardware and software.

• edX
• 4 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Optimization: principles and algorithms - Linear optimization

Introduction to linear optimization, duality and the simplex algorithm.

• edX
• 5 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Optimization: principles and algorithms - Unconstrained nonlinear optimization

Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.

• edX
• 6 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Optimization: principles and algorithms - Network and discrete optimization

Introduction to network optimization and discrete optimization

• edX
• 5 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Design and Analysis of Algorithms

7 reviews

Comprehensive exploration of algorithm design and analysis, covering complexity, sorting, data structures, and optimization techniques for efficient problem-solving.

• YouTube
• 10 hours
• On-Demand
• Free Video

How Selection Changes the Genetic Composition of Population - Principles of Evolution, Ecology and Behavior

Explore genetic systems, their impact on evolution, and how selection alters population genetics. Learn about adaptive genetic change rates and the math behind genetic shifts in populations.

• YouTube
• 50 minutes
• On-Demand
• Free Video

The Origin and Maintenance of Genetic Variation - Lecture 6

Explore genetic diversity's origins through mutations, selection, and recombination. Discover how population size impacts evolution and genetic variation maintenance in different scenarios.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Neutral Evolution - Genetic Drift and Molecular Clocks

Explore genetic drift and neutral evolution, understanding how random changes in genes can impact species over time without affecting reproductive success.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Genetic Engineering: DNA Technology and Gene Expression Control - Lecture 4

Explore advanced DNA technologies: RNA silencing, molecular cloning, PCR, and mutation detection. Learn about controlling gene expression and applications in genetic engineering and biomedical research.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Campus - the Israeli National Project for Digital Learning

Bayesian Algorithms for Self-Driving Cars

1 review

"Bayesian Algorithms for Self-Driving Cars" is an advanced Computer science course, designed to equip the student with the most important localization algorithms now deployed in modern autonomous vehicles.

• edX
• 13 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)